Peptidomic analysis of cartilage and subchondral bone in OA patients

被引:9
|
作者
Gatenholm, Birgitta [1 ,2 ]
Gobom, Johan [3 ,4 ]
Skillback, Tobias [3 ,4 ]
Blennow, Kaj [3 ,4 ]
Zetterberg, Henrik [3 ,4 ,5 ]
Brittberg, Mats [1 ,6 ]
机构
[1] Univ Gothenburg, Sahlgrenska Acad, Inst Clin Sci, Dept Orthopaed, Gothenburg, Sweden
[2] Sahlgrens Univ Hosp, Molndal, Sweden
[3] Univ Gothenburg, Sahlgrenska Acad, Dept Neurochem, Inst Neurosci & Physiol, Gothenburg, Sweden
[4] Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden
[5] UCL Inst Neurol, Dept Mol Neurosci, Queen Sq, London, England
[6] Hallands Sjukhus, Kungsbacka, Sweden
关键词
cartilage; mass spectrometry; neuropeptides; osteoarthritis; pain; SYNOVIAL-FLUID; PROTEOMIC ANALYSIS; OSTEOARTHRITIS; IDENTIFICATION; PROGRESSION; TISSUE; PAIN; COMPLEMENT; EXTRACTION; TURNOVER;
D O I
10.1111/eci.13082
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The objective of this study was to develop a method for directly analysing osteochondral samples straight out of the operating room without cell culturing, thereby enabling identification of potential peptide biomarkers to better understand the mechanisms involved in the development of osteoarthritis and pain. Material and Methods: Osteochondral plugs from wounded and macroscopically nonwounded zones of the femur condyle were collected from six patients with manifest osteoarthritis (OA) undergoing total knee arthroplasty (TKA). The samples were demineralized and supernatant was collected and isotopically marked with Tandem Mass Tag (TMT) labelling and analysed using liquid chromatography coupled with tandem mass spectrometry LC-MS/MS. Results: Using peptidomics, 6292 endogenous peptides were identified. Five hundred sixty-six peptides (8 identified endogenous peptides) differed significantly (P-value 0.10) from wounded zones compared to nonwounded zones. Conclusion: This pilot study shows promising results for enabling peptidomic analysis of cartilage and bone straight out of the operating room. With further refinement, peptidomics can potentially become a diagnostic tool for OA, and improve the knowledge of disease progression and genesis of pain.
引用
收藏
页数:8
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